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Bias and careers: Evidence from the aid effectiveness literature

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  • Doucouliagos, Hristos
  • Hinz, Thomas
  • Zigova, Katarina

Abstract

We collect data on the careers of 189 authors who published aid effectiveness estimates during the 1970 to 2011 period, and apply meta-regression analysis to investigate the impact of authors' careers on the degree of selectivity in which results are reported. Among non-tenured researchers, publication selection bias and research inflation are increasing with age, on average. This bias is highest among older non-tenured researchers. In search for channels, we find suggestive evidence that a portion of the preferential reporting in favour of aid effectiveness is associated with non-tenured authors’ links with aid agencies.

Suggested Citation

  • Doucouliagos, Hristos & Hinz, Thomas & Zigova, Katarina, 2022. "Bias and careers: Evidence from the aid effectiveness literature," European Journal of Political Economy, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:poleco:v:71:y:2022:i:c:s0176268021000550
    DOI: 10.1016/j.ejpoleco.2021.102056
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    1. John P A Ioannidis, 2005. "Why Most Published Research Findings Are False," PLOS Medicine, Public Library of Science, vol. 2(8), pages 1-1, August.
    2. Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2018. "Methods Matter: P-Hacking and Causal Inference in Economics," IZA Discussion Papers 11796, Institute of Labor Economics (IZA).
    3. Garret Christensen & Edward Miguel, 2018. "Transparency, Reproducibility, and the Credibility of Economics Research," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
    4. Winford H. Masanjala & Chris Papageorgiou, 2008. "Rough and lonely road to prosperity: a reexamination of the sources of growth in Africa using Bayesian model averaging," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 671-682.
    5. Fabo, Brian & Jančoková, Martina & Kempf, Elisabeth & Pástor, Ľuboš, 2021. "Fifty shades of QE: Comparing findings of central bankers and academics," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 1-20.
    6. Stephen B. Jarrell & T. D. Stanley, 2004. "Declining Bias and Gender Wage Discrimination? A Meta-Regression Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 39(3).
    7. Young, Andrew T. & Sheehan, Kathleen M., 2014. "Foreign aid, institutional quality, and growth," European Journal of Political Economy, Elsevier, vol. 36(C), pages 195-208.
    8. Amanda Kvarven & Eirik Strømland & Magnus Johannesson, 2020. "Comparing meta-analyses and preregistered multiple-laboratory replication projects," Nature Human Behaviour, Nature, vol. 4(4), pages 423-434, April.
    9. Askarov, Zohid & Doucouliagos, Hristos, 2015. "Aid and institutions in transition economies," European Journal of Political Economy, Elsevier, vol. 38(C), pages 55-70.
    10. Diana W. Thomas & Michael D. Thomas, 2020. "Behavioral symmetry, rent seeking, and the Republic of Science," Public Choice, Springer, vol. 183(3), pages 443-459, June.
    11. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
    12. Stanley, T. D. & Jarrell, Stephen B. & Doucouliagos, Hristos, 2010. "Could It Be Better to Discard 90% of the Data? A Statistical Paradox," The American Statistician, American Statistical Association, vol. 64(1), pages 70-77.
    13. Hristos Doucouliagos & Martin Paldam, 2009. "The Aid Effectiveness Literature: The Sad Results Of 40 Years Of Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 433-461, July.
    14. Laroche, P., 2000. "What do Unions do to Productivity? A Meta-Analysis," Papers 2000-5, Groupe de recherche en économie financière et en gestion des entreprises, Universite Nancy 2.
    15. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
    16. Hristos Doucouliagos & Martin Paldam, 2013. "The Robust Result in Meta-analysis of Aid Effectiveness: A Response to Mekasha and Tarp," Journal of Development Studies, Taylor & Francis Journals, vol. 49(4), pages 584-587, April.
    17. Cristina Blanco-Perez & Abel Brodeur, 2020. "Publication Bias and Editorial Statement on Negative Findings," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1226-1247.
    18. John P. A. Ioannidis & T. D. Stanley & Hristos Doucouliagos, 2017. "The Power of Bias in Economics Research," Economic Journal, Royal Economic Society, vol. 127(605), pages 236-265, October.
    19. Doucouliagos, Hristos & Paldam, Martin & Stanley, T.D., 2018. "Skating on thin evidence: Implications for public policy," European Journal of Political Economy, Elsevier, vol. 54(C), pages 16-25.
    20. Frey, Bruno S, 2003. "Publishing as Prostitution?--Choosing between One's Own Ideas and Academic Success," Public Choice, Springer, vol. 116(1-2), pages 205-223, July.
    21. Eva Vivalt, 2019. "Specification Searching and Significance Inflation Across Time, Methods and Disciplines," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 797-816, August.
    22. Tomáš Havránek, 2015. "Measuring Intertemporal Substitution: The Importance Of Method Choices And Selective Reporting," Journal of the European Economic Association, European Economic Association, vol. 13(6), pages 1180-1204, December.
    23. Gaines Liner & Ellen Sewell, 2009. "Research requirements for promotion and tenure at PhD granting departments of economics," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 765-768.
    24. Fidrmuc, Jarko & Lind, Ronja, 2020. "Macroeconomic impact of Basel III: Evidence from a meta-analysis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    25. Fuchs, Andreas & Richert, Katharina, 2018. "Development Minister Characteristics and Aid Giving," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 53, pages 186-204.
    26. Roger D. Congleton & Arye L. Hillman (ed.), 2015. "Companion to the Political Economy of Rent Seeking," Books, Edward Elgar Publishing, number 15325.
    27. Tomáš Havránek & T. D. Stanley & Hristos Doucouliagos & Pedro Bom & Jerome Geyer‐Klingeberg & Ichiro Iwasaki & W. Robert Reed & Katja Rost & R. C. M. van Aert, 2020. "Reporting Guidelines For Meta‐Analysis In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 469-475, July.
    28. Michael Graber & Andrey Launov & Klaus Wälde, 2008. "Publish or Perish? The Increasing Importance of Publications for Prospective Economics Professors in Austria, Germany and Switzerland," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 457-472, November.
    29. Shaomeng Jia & Claudia R. Williamson, 2019. "Aid, Policies, And Growth: Why So Much Confusion?," Contemporary Economic Policy, Western Economic Association International, vol. 37(4), pages 577-599, October.
    30. Michael Rauber & Heinrich W. Ursprung, 2008. "Life Cycle and Cohort Productivity in Economic Research: The Case of Germany," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 431-456, November.
    31. Michael Rauber & Heinrich W. Ursprung, 2008. "Life Cycle and Cohort Productivity in Economic Research: The Case of Germany," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 431-456, November.
    32. Costa-Font, Joan & McGuire, Alistair & Stanley, Tom, 2013. "Publication selection in health policy research: The winner's curse hypothesis," Health Policy, Elsevier, vol. 109(1), pages 78-87.
    33. Doucouliagos, Hristos & Paldam, Martin, 2011. "The ineffectiveness of development aid on growth: An update," European Journal of Political Economy, Elsevier, vol. 27(2), pages 399-404, June.
    34. Brian Fabo & Martina Jancokova & Elisabeth Kempf & Lubos Pastor, 2020. "Fifty Shades of QE: Conflicts of Interest in Economic Research," Working Papers 2020-128, Becker Friedman Institute for Research In Economics.
    35. David M Levy & Sandra J Peart, 2008. "Inducing Greater Transparency: Towards the Establishment of Ethical Rules for Econometrics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(1), pages 103-114, Winter.
    36. repec:elg:eechap:15325_15 is not listed on IDEAS
    37. Paldam, Martin, 2018. "A model of the representative economist, as researcher and policy advisor," European Journal of Political Economy, Elsevier, vol. 54(C), pages 5-15.
    38. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.
    39. Hagen, Rune Jansen, 2014. "Rents and the Political Economy of Development Aid," Working Papers in Economics 07/14, University of Bergen, Department of Economics.
    40. B. Mak Arvin & Byron Lew (ed.), 2015. "Handbook on the Economics of Foreign Aid," Books, Edward Elgar Publishing, number 15762.
    41. Zohid Askarov & Hristos Doucouliagos, 2013. "Does aid improve democracy and governance? A meta-regression analysis," Public Choice, Springer, vol. 157(3), pages 601-628, December.
    42. Bruns, Stephan B. & Asanov, Igor & Bode, Rasmus & Dunger, Melanie & Funk, Christoph & Hassan, Sherif M. & Hauschildt, Julia & Heinisch, Dominik & Kempa, Karol & König, Johannes & Lips, Johannes & Verb, 2019. "Reporting errors and biases in published empirical findings: Evidence from innovation research," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    43. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    44. Chris Doucouliagos & T.D. Stanley, 2013. "Are All Economic Facts Greatly Exaggerated? Theory Competition And Selectivity," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 316-339, April.
    45. T.D. Stanley & Stephen B. Jarrell, 1998. "Gender Wage Discrimination Bias? A Meta-Regression Analysis," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 947-973.
    46. Michael Graber & Andrey Launov & Klaus Wälde, 2008. "Publish or Perish? The Increasing Importance of Publications for Prospective Economics Professors in Austria, Germany and Switzerland," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 457-472, November.
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    More about this item

    Keywords

    Aid; Tenure; Publication selection bias; Meta-regression analysis;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • F35 - International Economics - - International Finance - - - Foreign Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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